Age Based Trends for Unplanned Pediatric Rehospitalizations in the United States

BACKGROUND AND OBJECTIVES: Hospital readmission rate helps to highlight the effectiveness of post- discharge care. There remains a paucity of plausible age based categorization especially for ages below one year for hospital readmission rates. METHODS: Data from 2017 Healthcare cost and utilization project National readmissions database was analyzed for ages 0-18 years. Logistic regression analysis was performed to identify predictors for unplanned early readmissions. RESULTS: We identified 5,529,389 inpatient pediatric encounters which were further divided into age group cohorts. The overall rate of readmissions was identified at 3.2%. Beyond infancy, the readmission rate was found to be 6.7%. Across all age groups, the major predictors of unplanned readmission were cancers, diseases affecting transplant recipients and sickle cell patients. It was determined that reflux, milk protein allergy, hepatitis and inflammatory bowel diseases were significant comorbidities leading to readmission. Anxiety, depression and suicidal ideation depicted higher readmission rates in those older than 13 years. Across ages 1-4 yrs, dehydration, asthma and bronchitis were negative predictors of unplanned readmission. CONCLUSIONS: Thirty-day unplanned readmissions remain a problem leading to billions of tax-payer-dollars lost per annum. Effective strategies for mandatory outpatient follow-up may help the financial aspect of care while also enhancing the quality of care.

Effect of COVID-19 pandemic on hip preservation surgery—a prospective surveillance from the UK Non-Arthroplasty Hip Registry

ABSTRACT A multi-centre, registry-based cohort study was conducted to assess the effect of the coronavirus disease 2019 (COVID-19) pandemic on the provision of non-arthroplasty hip surgery (NAHS) in the UK by (i) comparing the number of NAHS performed during the pandemic to pre-pandemic levels, (ii) prospectively auditing compliance to established guidance and (iii) evaluating post-operative outcomes and their predictors. Patients who underwent NAHS during the pandemic/pre-pandemic were selected from the Non-Arthroplasty Hip Registry, which collects demographic, procedural and pre-operative outcome data. Patients during the pandemic period were emailed separate COVID-19 surveillance questionnaires, which evaluated adherence to guidelines and post-operative outcomes. Fisher’s exact tests and logistic regression were used to identify predictors for developing COVID-19 and being re-admitted into hospital, post-surgery. There was a 64% reduction of NAHS performed during the pandemic compared to the pre-pandemic period. Ninety-nine percent of participants self-isolated, and 96.8% received screening, pre-operatively. No participant was COVID-19-positive peri-operatively. Post-operatively, participants had an intensive care unit admission rate of 2%, median hospital stay of 1 day, hospital readmission rate of 4.2%, COVID-19 development rate of 2.3% and a thromboembolic complication rate of 0.32%. No COVID-19-positive patient developed adverse post-operative outcomes. Participants who developed COVID-19 post-operatively had greater odds of having undergone osteotomy in comparison to arthroscopic surgery (P = 0.036, odds ratio = 5.36). NAHS was performed with good compliance to established guidance, and adverse operative outcomes remained low. If guidance is followed, the risk of COVID-19 post-op development is low. Although bigger operations have a slightly higher risk, this does not impact their prognosis.

Predicting Hospital Readmission in Heart Failure Patients in Iran: A Comparison of Various Machine Learning Methods

Objectives: Heart failure (HF) is a common disease with a high hospital readmission rate. This study considered class imbalance and missing data, which are two common issues in medical data. The current study’s main goal was to compare the performance of six machine learning (ML) methods for predicting hospital readmission in HF patients.Methods: In this retrospective cohort study, information of 1,856 HF patients was analyzed. These patients were hospitalized in Farshchian Heart Center in Hamadan Province in Western Iran, from October 2015 to July 2019. The support vector machine (SVM), least-square SVM (LS-SVM), bagging, random forest (RF), AdaBoost, and naïve Bayes (NB) methods were used to predict hospital readmission. These methods’ performance was evaluated using sensitivity, specificity, positive predictive value, negative predictive value, and accuracy. Two imputation methods were also used to deal with missing data.Results: Of the 1,856 HF patients, 29.9% had at least one hospital readmission. Among the ML methods, LS-SVM performed the worst, with accuracy in the range of 0.57–0.60, while RF performed the best, with the highest accuracy (range, 0.90–0.91). Other ML methods showed relatively good performance, with accuracy exceeding 0.84 in the test datasets. Furthermore, the performance of the SVM and LS-SVM methods in terms of accuracy was higher with the multiple imputation method than with the median imputation method.Conclusions: This study showed that RF performed better, in terms of accuracy, than other methods for predicting hospital readmission in HF patients.

The impact of hospital accreditation on the quality of healthcare: a systematic literature review

Background Accreditation is viewed as a reputable tool to evaluate and enhance the quality of health care. However, its effect on performance and outcomes remains unclear. This review aimed to identify and analyze the evidence on the impact of hospital accreditation. Methods We systematically searched electronic databases (PubMed, CINAHL, PsycINFO, EMBASE, MEDLINE (OvidSP), CDSR, CENTRAL, ScienceDirect, SSCI, RSCI, SciELO, and KCI) and other sources using relevant subject headings. We included peer-reviewed quantitative studies published over the last two decades, irrespective of its design or language. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, two reviewers independently screened initially identified articles, reviewed the full-text of potentially relevant studies, extracted necessary data, and assessed the methodological quality of the included studies using a validated tool. The accreditation effects were synthesized and categorized thematically into six impact themes. Results We screened a total of 17,830 studies, of which 76 empirical studies that examined the impact of accreditation met our inclusion criteria. These studies were methodologically heterogeneous. Apart from the effect of accreditation on healthcare workers and particularly on job stress, our results indicate a consistent positive effect of hospital accreditation on safety culture, process-related performance measures, efficiency, and the patient length of stay, whereas employee satisfaction, patient satisfaction and experience, and 30-day hospital readmission rate were found to be unrelated to accreditation. Paradoxical results regarding the impact of accreditation on mortality rate and healthcare-associated infections hampered drawing firm conclusions on these outcome measures. Conclusion There is reasonable evidence to support the notion that compliance with accreditation standards has multiple plausible benefits in improving the performance in the hospital setting. Despite inconclusive evidence on causality, introducing hospital accreditation schemes stimulates performance improvement and patient safety. Efforts to incentivize and modernize accreditation are recommended to move towards institutionalization and sustaining the performance gains. PROSPERO registration number CRD42020167863.

Predictors for early readmission in patients hospitalized with new onset pediatric lupus nephritis

Objective The objective is to determine the 30-day hospital readmission rate following a hospitalization due to pediatric lupus nephritis of recent onset and characterize the risk factors associated with these early readmissions. Methods The study included 76 children hospitalized from 01/01/2008 to 4/30/2017 due to a new diagnosis of lupus nephritis. We calculated the 30-day hospital readmission rate and compared the characteristics of the patients that were readmitted to patients that were not readmitted using univariable and multivariable analysis. Results The 30-day readmission rate was 17.1%. Factors that predicted hospital readmission in unavailable analysis were male gender (38.5 vs 14.3%, p = 0.04), not receiving pulse steroids (30.8 vs 3.2%, p = < .001), receiving diuretic treatment (69.2 vs 34.9%, p = .02), receiving albumin infusions (46.2 vs 12.7%, p = .004), stage 2 hypertension on day one of admission (76.9 vs 41.3%, p = .02), a higher white blood cell count on discharge (13.7 × 103/mm3 vs 8.8 × 103/mm 3 , p = .023), need for non-angiotensin converting enzyme (ACE) antihypertensive drugs (76.9 vs 46%, p = .042), and being discharged on nonsteroidal anti-inflammatory drugs (NSAIDs) (23.1 vs 4.8%, p = .025). Multivariable analysis demonstrated an increased risk of readmission for patients not treated with intravenous pulse methylprednisolone (IVMP) (OR = 17.5 (1.81–168.32) p = .013), and for those who required intravenous albumin assisted diuresis for hypervolemia (OR=6.25 (1.29–30.30) p = .022). Conclusion In all, 17% of children hospitalized due to new onset lupus nephritis were readmitted within 30 days of discharge. Absence of IVMP and receiving intravenous albumin assisted diuresis during initial hospitalization increase the risk of early readmission in new onset pediatric lupus nephritis.

651 An Audit of Negative Appendectomy Rate at A District General Hospital in the UK

Aim There is significant variation in management of acute appendicitis across the UK. Despite advancements in imaging modalities, acute appendicitis is still a clinical diagnosis. The primary aim of this study was to determine the negative appendectomy rate (NAR) and secondary aim was to look for the imaging results and hospital readmission rate in case of a normal appendix. Method It is a retrospective analysis of all the patients admitted with a suspicion of acute appendicitis from Jan 2018 to April 2019. For data collection hospital medical record was used. Information about patient demographic details, blood results, outcome, operative findings, and histology of appendix if removed, was collected. For Patients having negative appendectomy, hospital admission rate was calculated. Results Total 517 patients were admitted with suspected acute appendicitis and only 45.6% (n = 236) patients underwent surgery. Females=52.1%, Males 47.9%. Mean age was 31 years. NAR was 10.6% (n = 25). (Females= 9.3%, Males=1.3%), 8.4% female patients were below 35 years of age. Patients were divided into 3 groups (Normal appendix NA, Uncomplicated appendicitis UA, complicated appendicitis CA). There was a statistically significant difference in inflammatory markers between the groups. In NA group 17/25 patients underwent prior imaging and imaging suggested acute appendicitis in 7/17 patients. Post NA hospital readmission rate was 20%, all of them were females, and gynecology opinion was sought in all of them. Conclusions The negative appendectomy rate is at 10.6%, comparable to national database. It is more common in young females due to a range of differential diagnoses.

The efficacy and safety of a nurse-led electrical cardioversion service for atrial fibrillation over a two-year time period

Funding Acknowledgements Type of funding sources: None. Background & Purpose Atrial fibrillation (AF) is the most prevalent cardiac arrhythmia worldwide, with a significant impact on morbidity, mortality and utilisation of healthcare resources. Electrical direct-current cardioversion (DCCV) is offered to patients with ongoing symptoms despite medical management. In this study we aim to evaluate the safety and efficacy of a specialised nurse-led DCCV cardioversion service. Methods This was a retrospective cohort study analysing the outcome of patients presenting with atrial fibrillation or flutter, who were subsequently referred for a nurse-led DCCV procedure between August 2017 and December 2019. Results Analysis included a total of 341 patients (mean age = 68.37; STDV = 10.96) who presented with either atrial fibrillation (N = 267; 78.30%) or atrial flutter (N = 74; 21.70%). Approximately 30% of patients were female (N = 101); and 70% were male (N = 240). Of the 341 patients who underwent DCCV, 299 were successfully cardioverted (87.68%), whilst 42 patients remained in AF (12.32%). Of those patients successfully cardioverted, 167 remained in sinus rhythm after 6 weeks (55.85%); 93 patients reverted back to AF (31.10%). 38 patients were lost to follow up (12.71%). Of all 341 patients who underwent DCCV, only 24 patients were admitted to hospital during the subsequent 3 month period (7.04%). Of these admissions, 11 were due to persistent AF (45.83%), and 13 were due to other non-related reasons (54.17%). Importantly, no patients were admitted as a direct complication of the DCCV procedure. Using a Chi-squared analysis, we found a significant difference in cardioversion success rates between patients presenting with atrial flutter (97% success rate) versus those in atrial fibrillation (85% success rate) (χ2 = 8.089; p = 0.004; α&lt;0.05). We did not find a significant difference in cardioversion success rates between males and females (χ2 = 1.651; p = 0.199; α&lt;0.05); nor did we witness a significant impact from the presence of ischaemic heart disease (χ2 = 1.545; p = 0.214; α&lt;0.05) or hypertension (χ2 = 2.075; p = 0.150; α&lt;0.05). Similarly, we found negligible impact of LV ejection fraction (χ2 = 1.494; p = 0.684; α&lt;0.05) or LA size (χ2 = 1.310; p = 0.727; α&lt;0.05) upon cardioversion success rates. We witnessed a dramatic improvement in DC cardioversion success rates in patients taking antiarrhythmic medication in preference to a rate control strategy alone (χ2 = 11.825; p = 0.008; α&lt;0.05). Conclusion Overall, data gathered from this study provides positive evidence to support the use of a nurse-led DCCV service. In addition to obtaining very successful cardioversion rates, we found low remission rates, with a very low hospital readmission rate for AF related issues after successful DCCV.